A sudden environmental event electronic sand table control method and system based on multi-source data fusion

Abstract

The application provides a sudden environmental event electronic sand table control method and system based on multi-source data fusion. The sudden environmental event electronic sand table control method based on multi-source data fusion comprises the following steps: collecting data information corresponding to a sudden environmental event, and pre-processing the data information to obtain pre-processed data information; creating an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event by using an electronic sand table creation tool; performing a sudden environmental event simulation operation on the electronic sand table virtual environment model to obtain a response time of the sudden environmental event simulation operation and an engineering simulation disposal effect; and judging whether the event emergency disposal simulation operation scheme in the electronic sand table virtual environment model needs to be optimized according to the response time of the sudden environmental event and the engineering simulation disposal effect. Through multi-scheme simulation comparison, the best standard sudden environmental event disposal scheme that is rapid in response, effective in disposal and meets the expected target is determined.

Description

Technical Field

[0001] This invention proposes an electronic sand table control method and system for sudden environmental events based on multi-source data fusion, belonging to the field of electronic sand table control technology. Background Technology

[0002] An electronic sandbox is a digital, virtual tool or technology used to simulate and visualize geographic information and terrain data in various scenarios such as geography, geology, urban planning, disaster management, and military strategy. It typically includes the following features and functions:

[0003] Geographic data simulation: Electronic sand tables can simulate and present geographic data of the Earth's surface, such as topography, terrain, water bodies, roads, and buildings. This data can come from Geographic Information Systems (GIS), satellite imagery, remote sensing technology, etc.

[0004] Interactivity: Users can interact with the electronic sand table via touchscreen, mouse, keyboard, or other input devices. They can zoom, rotate, select, and mark geographic elements for analysis and decision-making.

[0005] However, existing electronic sand table systems, when applied to sudden environmental events, suffer from problems such as long response times and low control efficiency. Summary of the Invention

[0006] This invention provides a method and system for controlling electronic sand table in emergency environmental events based on multi-source data fusion, to solve the problems of long response time and low control efficiency in existing electronic sand table control applications for emergency environmental events. The technical solution adopted is as follows:

[0007] A method for controlling emergency environmental events using an electronic sandbox based on multi-source data fusion, the method comprising:

[0008] Collect data information corresponding to sudden environmental events, and preprocess the data information to obtain preprocessed data information;

[0009] Use an electronic sand table creation tool to create an electronic sand table virtual environment model corresponding to the data information of the aforementioned sudden environmental event;

[0010] The electronic sand table virtual environment model is used to simulate sudden environmental events to obtain the response time and engineering simulation handling effect of the sudden environmental event simulation operation. Based on the response time and engineering simulation handling effect of the sudden environmental event, it is determined whether the emergency response simulation operation plan in the electronic sand table virtual environment model should be optimized.

[0011] Furthermore, data information corresponding to sudden environmental events is collected, and the data information is preprocessed to obtain preprocessed data information, including:

[0012] Collect first data information of the target area, wherein the first data information includes the spatial location of elements such as topographic and geomorphological information, river system hydrology and water quality, water source, distribution of sensitive population, environmental emergency space and facilities, emergency material warehouse, and emergency team of the target area;

[0013] Collect second data information corresponding to sudden environmental incidents, wherein the second data information includes the type of accident, characteristic pollutants, and optional emergency response plans in the case of the sudden incident;

[0014] The data information of various types in the first data information and the second data information is converted into data information with a unified format.

[0015] Data cleaning is performed on data information with a uniform format to obtain cleaned data information.

[0016] The cleaned data is deduplicated to obtain the deduplicated data.

[0017] The deduplicated data is geocoded to obtain preprocessed data with geocoding.

[0018] Furthermore, the following algorithm is used when performing data deduplication:

[0019] Step 1: Let the data to be compared be A. To improve processing speed, data A is hashed using the MD5 algorithm. The resulting data is A0. s as follows:

[0020] A s =md5(A)

[0021] Step 2: Let i be the number of the processed unique data, W i Let S be the MD5 value corresponding to the i-th data point, then the similarity S between data A and the processed, non-repeating i-th data point is... A,i for:

[0022]

[0023] Where ∩ represents finding the intersection of two sets of data, and ∪ represents finding the union of two sets of data;

[0024] Step 3: Let the total number of processed unique data be n. Calculate the similarity between data A and all processed unique data. If the similarity with any data is 1, it means that data A is a duplicate, so stop calculating the similarity and delete data A. If the calculated similarity is not 1, continue to calculate with other data until a similarity of 1 is found or all n data have been calculated, then stop the data comparison. If the similarity between data A and all n data is not 1, it means that A is a unique data and is retained.

[0025] Furthermore, an electronic sand table virtual environment model corresponding to the data information of the aforementioned sudden environmental event is created using an electronic sand table creation tool, including:

[0026] Access the electronic sand table creation tool, which includes geographic maps, building element models, road element models, water element models, emergency material element models, and disposal engineering element models, etc.

[0027] Use the aforementioned electronic sand table creation tool to create an initial electronic sand table virtual environment model;

[0028] The first and second data information are integrated into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

[0029] Furthermore, a simulated emergency environmental event is conducted on the electronic sand table virtual environment model to obtain the response time and engineering simulation handling effect of the simulated emergency environmental event. Based on the response time and engineering simulation handling effect of the emergency environmental event, it is determined whether the emergency response simulation operation plan in the electronic sand table virtual environment model needs to be optimized, including:

[0030] Set up emergency environmental events;

[0031] The sudden environmental event is used to simulate the sudden environmental event on the electronic sand table virtual environment model to obtain the response time required for the emergency response plan corresponding to the sudden environmental event and to achieve the engineering simulation response effect.

[0032] Compare the response time and engineering simulation effect of the different emergency response plans for sudden environments, or compare them with preset response time and effect thresholds;

[0033] By comparing multiple simulation scenarios, the optimal emergency environmental incident response plan with the shortest response time, best handling effect, and meeting expected goals was determined.

[0034] When the response time of the optimal emergency environmental event handling plan exceeds the preset response time threshold, or the handling effect is less than the preset handling effect, it is determined that the event emergency handling simulation operation plan in the electronic sand table needs to be optimized.

[0035] If the response time of the optimal emergency response plan is less than a preset response time threshold and the response effect exceeds a preset response effect, then it is determined that no optimization of the emergency response simulation operation plan in the electronic sand table virtual environment model is required. This plan is the optimal and compliant emergency response plan.

[0036] An electronic sand table control system for sudden environmental events based on multi-source data fusion, the electronic sand table control system for sudden environmental events based on multi-source data fusion includes:

[0037] The data information collection module is used to collect data information corresponding to sudden environmental events and to preprocess the data information to obtain preprocessed data information.

[0038] The sand table model creation module is used to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event using an electronic sand table creation tool.

[0039] The simulation optimization judgment module is used to simulate sudden environmental events in the electronic sand table virtual environment model, obtain the response time of the sudden environmental event simulation operation and the engineering simulation handling effect, and determine whether to optimize the event emergency handling simulation operation plan in the electronic sand table virtual environment model based on the response time of the sudden environmental event and the engineering simulation handling effect.

[0040] Furthermore, the data information collection module includes:

[0041] The first data information collection module collects the first data information of the target area, wherein the first data information includes the spatial location of elements such as the topography and geomorphology of the target area, the hydrology and water quality of the river system, water sources, distribution of sensitive populations, environmental emergency space and facilities, emergency material warehouses, and emergency teams.

[0042] The second data information collection module is used to collect second data information corresponding to sudden environmental events. The second data information includes the accident type, characteristic pollutants, and optional emergency response plans in the event.

[0043] The format conversion module is used to convert the various types of data information in the first data information and the second data information into data information with a unified format.

[0044] The data cleaning module is used to clean data information with uniform format to obtain cleaned data information;

[0045] The data deduplication module is used to deduplicatize the cleaned data to obtain the deduplicated data.

[0046] The geocoding module is used to geocode the deduplicated data to obtain preprocessed data with geocoding.

[0047] Furthermore, the sand table model creation module includes:

[0048] The tool retrieval module is used to retrieve the electronic sand table creation tool, which includes geographic maps, building element models, road element models, water element models, emergency material element models, and disposal engineering element models, etc.

[0049] The initial virtual model creation module is used to create an initial electronic sand table virtual environment model using the electronic sand table creation tool.

[0050] The electronic sand table virtual environment model acquisition module is used to integrate the first data information and the second data information into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

[0051] Furthermore, the simulation optimization determination module includes:

[0052] The emergency event setting module is used to set up emergency environmental events;

[0053] The monitoring module is used to simulate different sudden environmental events on the electronic sand table virtual environment model using the sudden environmental events, and to obtain the response time and handling effect of each sudden environmental emergency response plan corresponding to the sudden environmental events.

[0054] The comparison module is used to compare the response time and engineering simulation effect of different emergency response plans for sudden environments, or to compare them with preset response time and effect thresholds.

[0055] The first optimization judgment module is used to determine that the emergency response simulation operation plan in the electronic sand table needs to be optimized when the response time of the best emergency environmental event handling plan exceeds the preset response time threshold or the handling effect is less than the preset handling effect.

[0056] The second optimization judgment module is used to determine that if the response time of the optimal emergency environmental event handling plan is less than a preset response time threshold and the handling effect exceeds a preset handling effect, then it is determined that no optimization of the emergency response simulation operation plan in the electronic sand table virtual environment model is needed. This plan is the optimal and compliant emergency environmental event handling plan.

[0057] Beneficial effects of this invention:

[0058] This invention proposes an electronic sand table control method and system for sudden environmental events based on multi-source data fusion. It utilizes an electronic sand table creation tool to transform pre-processed sudden environmental event data into an electronic sand table virtual environment model. This virtual environment model may include elements such as maps, terrain, buildings, and personnel models to reflect the actual environment. By mapping real data information onto the virtual environment, the response process to sudden environmental events is simulated, helping users evaluate and improve emergency response strategies, thereby enhancing the effectiveness and efficiency of responding to emergencies. Attached Figure Description

[0059] Figure 1 This is a flowchart of the method described in this invention;

[0060] Figure 2 This is a system block diagram of the system described in this invention. Detailed Implementation

[0061] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0062] This invention proposes an electronic sand table control method for sudden environmental events based on multi-source data fusion, such as... Figure 1 As shown, the electronic sand table control method for sudden environmental events based on multi-source data fusion includes:

[0063] S1. Collect data information corresponding to sudden environmental events, and preprocess the data information to obtain preprocessed data information;

[0064] S2. Use an electronic sand table creation tool to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event;

[0065] S3. Perform emergency environmental event simulation operations on the electronic sand table virtual environment model to obtain the response time of the emergency environmental event simulation operation and the engineering simulation handling effect. Based on the response time of the emergency environmental event and the engineering simulation handling effect, determine whether to optimize the event emergency handling simulation operation plan in the electronic sand table virtual environment model.

[0066] The working principle of the above technical solution is as follows: Data collection and preprocessing: First, it is necessary to collect data related to the sudden environmental event, which may include the event's geographical information, weather, environmental parameters, personnel information, etc. This data may come from satellite imagery, weather stations, sensors, geographic information systems, etc. Then, this data is preprocessed to ensure its accuracy and consistency, such as removing noise and handling missing values, to obtain clean data information.

[0067] Electronic Sand Table Virtual Environment Model Creation: Using electronic sand table creation tools, pre-processed data on sudden environmental events is transformed into an electronic sand table virtual environment model. This virtual environment model may include elements such as maps, terrain, buildings, and personnel models to reflect the actual environment.

[0068] Emergency Environmental Incident Simulation: This allows for the simulation of emergency environmental incidents within a virtual environment. This includes simulating the occurrence, propagation, and evolution of the incident, as well as related decision-making and responses. Users can use electronic sandbox tools to simulate different scenarios, such as natural disasters, fires, and traffic accidents.

[0069] Response time measurement: In simulation operations, the response time for simulated emergency environmental events is recorded. This can include the time from the occurrence of the event to decision-making and implementation. Measuring response time helps assess the efficiency and preparedness of emergency response.

[0070] Measurement of treatment effectiveness: In the simulation operation, the simulation effect of each emergency treatment project experienced by the pollutants along the pollution diffusion path of the sudden environmental incident is recorded. By calculating the (final concentration - initial concentration) / initial concentration of the pollutants, the treatment effectiveness of the entire emergency treatment plan for the sudden environmental incident is obtained.

[0071] Model optimization decisions: Based on response time data, electronic sandbox virtual environment models can be evaluated. If the response time in the simulation is too long or the handling efficiency is low, model optimization can be considered, such as improving decision-making processes, resource allocation strategies, or training programs. This helps improve preparedness and response capabilities to sudden environmental events.

[0072] The effect of the above technical solution is as follows: by mapping real data information into a virtual environment, this technical solution simulates the response process of sudden environmental events, helps users evaluate and improve emergency response strategies, and improves the effectiveness and efficiency of responding to emergencies.

[0073] One embodiment of the present invention involves collecting data information corresponding to sudden environmental events and preprocessing the data information to obtain preprocessed data information, including:

[0074] S101. Collect first data information of the target area, wherein the first data information includes the spatial location of elements such as topographic and geomorphological information of the target area, river system hydrology and water quality, water source, distribution of sensitive population, environmental emergency space and facilities, emergency material warehouse, and emergency team.

[0075] S102. Collect second data information corresponding to the sudden environmental incident, wherein the second data information includes the type of accident, characteristic pollutants, and optional emergency response plan in the case of the sudden incident;

[0076] S103. Perform data format conversion processing on the various types of data information in the first data information and the second data information to form data information with a unified format.

[0077] S104. Perform data cleaning on data information with uniform format to obtain cleaned data information.

[0078] S105. Perform deduplication on the cleaned data to obtain the deduplicated data.

[0079] S106. Geocoding is performed on the deduplicated data to obtain preprocessed data with geocoding.

[0080] Specifically, since large datasets may contain many duplicates, removing these duplicates is a crucial step in data cleaning. Only after data deduplication can subsequent simulations and optimizations be accurately performed. However, traditional data deduplication methods suffer from slow processing speeds and poor performance on small or large datasets. To improve data deduplication speed and performance on both small and large datasets, the following algorithm is adopted for data deduplication:

[0081] Step 1: Let the data to be compared be A. To improve processing speed, data A is hashed using the MD5 algorithm. The resulting data is A0. s as follows:

[0082] A s =md5(A)

[0083] Step 2: Let i be the number of the processed unique data, W i Let S be the MD5 value corresponding to the i-th data point, then the similarity S between data A and the processed, non-repeating i-th data point is... A,i for:

[0084]

[0085] Where ∩ represents finding the intersection of two sets of data, and ∪ represents finding the union of two sets of data;

[0086] Step 3: Let the total number of processed unique data points be n. Calculate the similarity between data A and all processed unique data points. If the similarity with any data point is 1, then data A is a duplicate, so stop calculating the similarity and delete data A. If the similarity is not 1, continue calculating with other data points until a similarity of 1 is found or all n data points have been calculated, then stop the data comparison. If the similarity between data A and all n data points is not 1, then A is a unique data point and is retained. The calculation process is as follows:

[0087]

[0088] In the code, sai is S. A,i .

[0089] This algorithm compresses the data length using a hash algorithm and uses MD5 hashes for comparison and deduplication, which greatly improves the speed of data deduplication and enhances the performance of processing small or large data. It also provides accurate data for subsequent simulation optimization, facilitating accurate simulation and judgment.

[0090] The working principle of the above technical solution is as follows: Data collection: First, data related to the target area and the sudden environmental event is collected from different data sources. These data sources may include satellite imagery, sensors, geographic information system (GIS) databases, census data, etc.

[0091] Data preprocessing: Collected data may come from different sources and have inconsistent formats. Therefore, before using it for analysis and decision-making, data format conversion is necessary to ensure that the data has a consistent format. This facilitates data integration and analysis.

[0092] Data cleaning: In the preprocessing stage, data cleaning is also required. This includes removing potentially erroneous, duplicate, or inaccurate data to ensure data quality and accuracy. Data cleaning helps prevent erroneous information from being used in emergency decisions.

[0093] Geocoding: Geocoding data is the process of associating data with geographic locations. This is achieved by linking data to the geographic coordinates of a target area. Geocoding facilitates data visualization on maps and spatial analysis, supporting emergency response and resource allocation.

[0094] The effects of the above technical solution are as follows: Data preparation: By performing data preprocessing and cleaning, the technical solution ensures the consistency and accuracy of the data, thereby making it usable for emergency response and decision-making.

[0095] Spatial association: Through geocoding, data information can be associated with specific geographical locations, which is crucial in geographic information systems during emergency situations.

[0096] Data integration: Integrating data from different sources and formats into a consistent data information system helps with comprehensive analysis and decision-making, especially in responding to sudden environmental incidents.

[0097] In summary, the goal of this technical solution is to provide prepared, clean, and geographically relevant data for sudden environmental events to support environmental emergency management and decision-making. This is crucial for timely response and risk mitigation.

[0098] One embodiment of the present invention utilizes an electronic sand table creation tool to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event, including:

[0099] S201. Retrieve the electronic sand table creation tool, wherein the electronic sand table creation tool includes geographic maps, building element models, road element models, water element models, emergency material element models, disposal engineering element models, etc.

[0100] S202. Use the electronic sand table creation tool to create an initial electronic sand table virtual environment model;

[0101] S203. Integrate the first data information and the second data information into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

[0102] The working principle of the above technical solution is as follows: First, an electronic sand table creation tool is used. This tool typically includes components such as geographic maps, building element models, road element models, water element models, emergency material element models, and disposal engineering element models. These element models are used to construct a virtual environment.

[0103] Creating an initial electronic sandbox virtual environment model: Based on the creation tools, create an initial electronic sandbox virtual environment model. This model can be a blank virtual environment, awaiting the integration of subsequent data and information.

[0104] Data Integration: Next, the first set of data (including the spatial location of elements such as the topography and geomorphology of the target area, river systems, hydrology and water quality, water sources, distribution of sensitive populations, environmental emergency spaces and facilities, emergency material depots, and emergency teams) and the second set of data (including accident types, characteristic pollutants, and alternative emergency response plans in the event of an emergency) will be integrated into the initial electronic sand table virtual environment model. This will create a virtual environment that is relevant to the actual environment and the emergency.

[0105] The effects of the above technical solution are as follows: Visualization Simulation: The main effect of the technical solution is to provide a visualized virtual environment that includes geographical and resource information related to emergencies. This allows users to simulate and visualize the impact of emergencies and response measures within a virtual environment.

[0106] Decision support: By mapping real-world data into a virtual environment, decision-makers can better understand the complexity of events, predict potential impacts, and develop better emergency response plans. This helps improve the accuracy of decision-making and the efficiency of response.

[0107] Resource allocation and engineering planning: Through virtual environment simulation, resource allocation and engineering planning can be carried out to determine the best disposal engineering measures and resource allocation, thereby better responding to sudden environmental events.

[0108] In summary, the goal of this technical solution is to transform real-world data into a visualized virtual environment to support needs in emergency management, decision-making, and training. This is highly helpful in improving the efficiency and accuracy of emergency response.

[0109] One embodiment of the present invention involves simulating a sudden environmental event on an electronic sandbox virtual environment model to obtain the response time of the sudden environmental event simulation operation, and determining whether to optimize the electronic sandbox virtual environment model based on the response time of the sudden environmental event, including:

[0110] S301. Set up emergency environmental events;

[0111] S302. Using the aforementioned sudden environmental event, simulate the sudden environmental event on the electronic sand table virtual environment model to obtain the response time of the emergency response and the engineering simulation response effect corresponding to the sudden environmental event.

[0112] S303. Compare the response time and engineering simulation effect of the different emergency response plans for sudden environments, or compare them with preset response time and treatment effect thresholds.

[0113] S304. When the response time of the optimal emergency environmental event handling plan exceeds the preset response time threshold or the handling effect is less than the preset handling effect, it is determined that the event emergency handling simulation operation plan in the electronic sand table needs to be optimized.

[0114] S305. When the response time of the optimal emergency environmental event handling plan is less than a preset response time threshold and the handling effect exceeds a preset handling effect, it is determined that there is no need to optimize the emergency response simulation operation plan in the electronic sand table virtual environment model. This plan is the optimal and compliant emergency environmental event handling plan.

[0115] The working principle of the above technical solution is as follows: Setting up a sudden environmental event: First, set up the sudden environmental event to be simulated, which can include natural disasters, fires, traffic accidents, etc. This environmental event will be used for subsequent simulation operations.

[0116] Simulation Operation: The electronic sand table virtual environment model is simulated using pre-defined emergency environmental events. The simulation considers various factors, such as geographical information, population distribution, and resource location, to simulate the occurrence of emergencies and emergency response scenarios.

[0117] Obtaining Response Time and Outcomes: The simulation will generate the optimal emergency response plan and its corresponding response time and outcome. Response time represents the time from the occurrence of the event to the arrival of the engineering work. Outcomes represent the overall effectiveness of each emergency response project undertaken by the pollutant along its diffusion path.

[0118] Comparison with preset thresholds: The technical solution compares the obtained response time and engineering simulation treatment effect with the preset response time and treatment effect thresholds.

[0119] Determining if optimization is needed: If the response time of the optimal emergency response plan exceeds a preset response time threshold, or the response effect is less than a preset response effect, then the electronic sandbox virtual environment model is determined to need optimization. This may include adjusting resource allocation, engineering planning, or other factors to improve response time or response effect.

[0120] No optimization required: If the response time of the best emergency response plan is less than the preset response time threshold and the response effect exceeds the preset response effect, it is determined that no optimization of the virtual environment model is required, indicating that the simulated response is timely and effective.

[0121] The effects of the above technical solution are as follows: Simulation evaluation: This technical solution allows for simulation evaluation through virtual environment models to assess the efficiency and accuracy of emergency response. This helps to identify potential areas for improvement.

[0122] Optimized decision-making: Based on simulated response times and handling effects, decision-makers can better understand when and what actions are needed to optimize emergency response plans, ensuring a more timely and effective response when sudden environmental events occur.

[0123] Resource allocation improvement: If the response time exceeds the threshold, or the handling effect fails to meet the threshold, the system can suggest how to optimize resource allocation and engineering measures to respond to sudden environmental events more promptly and effectively.

[0124] In summary, this technical solution helps to improve emergency response plans for sudden environmental events through virtual simulation, so as to better protect the ecological environment and people's lives and property.

[0125] This invention proposes an electronic sand table control system for sudden environmental events based on multi-source data fusion, such as... Figure 2 As shown, the electronic sand table control system for sudden environmental events based on multi-source data fusion includes:

[0126] The data information collection module is used to collect data information corresponding to sudden environmental events and to preprocess the data information to obtain preprocessed data information.

[0127] The sand table model creation module is used to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event using an electronic sand table creation tool.

[0128] The simulation optimization judgment module is used to simulate sudden environmental events in the electronic sand table virtual environment model, obtain the response time of the sudden environmental event simulation operation and the engineering simulation handling effect, and determine whether to optimize the event emergency handling simulation operation plan in the electronic sand table virtual environment model based on the response time of the sudden environmental event and the engineering simulation handling effect.

[0129] The working principle of the above technical solution is as follows: Data collection and preprocessing: First, it is necessary to collect data related to the sudden environmental event, which may include the event's geographical information, weather, environmental parameters, personnel information, etc. This data may come from satellite imagery, weather stations, sensors, geographic information systems, etc. Then, this data is preprocessed to ensure its accuracy and consistency, such as removing noise and handling missing values, to obtain clean data information.

[0130] Electronic Sand Table Virtual Environment Model Creation: Using electronic sand table creation tools, pre-processed data on sudden environmental events is transformed into an electronic sand table virtual environment model. This virtual environment model may include elements such as maps, terrain, buildings, and personnel models to reflect the actual environment.

[0131] Emergency Environmental Incident Simulation: This allows for the simulation of emergency environmental incidents within a virtual environment. This includes simulating the occurrence, propagation, and evolution of the incident, as well as related decision-making and responses. Users can use electronic sandbox tools to simulate different scenarios, such as natural disasters, fires, and traffic accidents.

[0132] Response time measurement: In simulation operations, the response time for simulated emergency environmental events is recorded. This can include the time from the occurrence of the event to decision-making and implementation. Measuring response time helps assess the efficiency and preparedness of emergency response.

[0133] Measurement of treatment effectiveness: In the simulation operation, the simulation effect of each emergency treatment project experienced by the pollutants along the pollution diffusion path of the sudden environmental incident is recorded. By calculating the (final concentration - initial concentration) / initial concentration of the pollutants, the treatment effectiveness of the entire emergency treatment plan for the sudden environmental incident is obtained.

[0134] Model optimization decisions: Based on response time data, electronic sandbox virtual environment models can be evaluated. If the response time in the simulation is too long or the handling efficiency is low, model optimization can be considered, such as improving decision-making processes, resource allocation strategies, or training programs. This helps improve preparedness and response capabilities to sudden environmental events.

[0135] The effect of the above technical solution is as follows: by mapping real data information into a virtual environment, this technical solution simulates the response process of sudden environmental events, helps users evaluate and improve emergency response strategies, and improves the effectiveness and efficiency of responding to emergencies.

[0136] In one embodiment of the present invention, the data information collection module includes:

[0137] The first data information collection module collects the first data information of the target area, wherein the first data information includes the spatial location of elements such as the topography and geomorphology of the target area, the hydrology and water quality of the river system, water sources, distribution of sensitive populations, environmental emergency space and facilities, emergency material warehouses, and emergency teams.

[0138] The second data information collection module is used to collect second data information corresponding to sudden environmental events. The second data information includes the accident type, characteristic pollutants, and optional emergency response plans in the event.

[0139] The format conversion module is used to convert the various types of data information in the first data information and the second data information into data information with a unified format.

[0140] The data cleaning module is used to clean data information with uniform format to obtain cleaned data information;

[0141] The data deduplication module is used to deduplicatize the cleaned data to obtain the deduplicated data.

[0142] The geocoding module is used to geocode the deduplicated data to obtain preprocessed data with geocoding.

[0143] Specifically, since large datasets may contain many duplicates, removing these duplicates is a crucial step in data cleaning. Only after data deduplication can subsequent simulations and optimizations be accurately performed. However, traditional data deduplication methods suffer from slow processing speeds and poor performance on small or large datasets. To improve data deduplication speed and performance on both small and large datasets, the following algorithm is adopted for data deduplication:

[0144] Step 1: Let the data to be compared be A. To improve processing speed, data A is hashed using the MD5 algorithm. The resulting data is A0. s as follows:

[0145] A s =md5(A)

[0146] Step 2: Let i be the number of the processed unique data, W i Let S be the MD5 value corresponding to the i-th data point, then the similarity S between data A and the processed, non-repeating i-th data point is... A,i for:

[0147]

[0148] Where ∩ represents finding the intersection of two sets of data, and ∪ represents finding the union of two sets of data;

[0149] Step 3: Let the total number of processed unique data points be n. Calculate the similarity between data A and all processed unique data points. If the similarity with any data point is 1, then data A is a duplicate, so stop calculating the similarity and delete data A. If the similarity is not 1, continue calculating with other data points until a similarity of 1 is found or all n data points have been calculated, then stop the data comparison. If the similarity between data A and all n data points is not 1, then A is a unique data point and is retained. The calculation process is as follows:

[0150]

[0151] In the code, sai is S. A,i .

[0152] This algorithm compresses the data length using a hash algorithm and uses MD5 hashes for comparison and deduplication, which greatly improves the speed of data deduplication and enhances the performance of processing small or large data. It also provides accurate data for subsequent simulation optimization, facilitating accurate simulation and judgment.

[0153] The working principle of the above technical solution is as follows: Data collection: First, data related to the target area and the sudden environmental event is collected from different data sources. These data sources may include satellite imagery, sensors, geographic information system (GIS) databases, census data, etc.

[0154] Data preprocessing: Collected data may come from different sources and have inconsistent formats. Therefore, before using it for analysis and decision-making, data format conversion is necessary to ensure that the data has a consistent format. This facilitates data integration and analysis.

[0155] Data cleaning: In the preprocessing stage, data cleaning is also required. This includes removing potentially erroneous, duplicate, or inaccurate data to ensure data quality and accuracy. Data cleaning helps prevent erroneous information from being used in emergency decisions.

[0156] Geocoding: Geocoding data is the process of associating data with geographic locations. This is achieved by linking data to the geographic coordinates of a target area. Geocoding facilitates data visualization on maps and spatial analysis, supporting emergency response and resource allocation.

[0157] The effects of the above technical solution are as follows: Data preparation: By performing data preprocessing and cleaning, the technical solution ensures the consistency and accuracy of the data, thereby making it usable for emergency response and decision-making.

[0158] Spatial association: Through geocoding, data information can be associated with specific geographical locations, which is crucial in geographic information systems during emergency situations.

[0159] Data integration: Integrating data from different sources and formats into a consistent data information system helps with comprehensive analysis and decision-making, especially in responding to sudden environmental incidents.

[0160] In summary, the goal of this technical solution is to provide prepared, clean, and geographically relevant data for sudden environmental events to support environmental emergency management and decision-making. This is crucial for timely response and risk mitigation.

[0161] In one embodiment of the present invention, the sand table model creation module includes:

[0162] The tool retrieval module is used to retrieve the electronic sand table creation tool, which includes geographic maps, building element models, road element models, water element models, emergency material element models, and disposal engineering element models, etc.

[0163] The initial virtual model creation module is used to create an initial electronic sand table virtual environment model using the electronic sand table creation tool.

[0164] The electronic sand table virtual environment model acquisition module is used to integrate the first data information and the second data information into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

[0165] The working principle of the above technical solution is as follows: First, an electronic sand table creation tool is used. This tool typically includes components such as geographic maps, building element models, road element models, water element models, emergency material element models, and disposal engineering element models. These element models are used to construct a virtual environment.

[0166] Creating an initial electronic sandbox virtual environment model: Based on the creation tools, create an initial electronic sandbox virtual environment model. This model can be a blank virtual environment, awaiting the integration of subsequent data and information.

[0167] Data Integration: Next, the first set of data (including the spatial location of elements such as the topography and geomorphology of the target area, river systems, hydrology and water quality, water sources, distribution of sensitive populations, environmental emergency spaces and facilities, emergency material depots, and emergency teams) and the second set of data (including accident types, characteristic pollutants, and alternative emergency response plans in the event of an emergency) will be integrated into the initial electronic sand table virtual environment model. This will create a virtual environment that is relevant to the actual environment and the emergency.

[0168] The effects of the above technical solution are as follows: Visualization Simulation: The main effect of the technical solution is to provide a visualized virtual environment that includes geographical and resource information related to emergencies. This allows users to simulate and visualize the impact of emergencies and response measures within a virtual environment.

[0169] Decision support: By mapping real-world data into a virtual environment, decision-makers can better understand the complexity of events, predict potential impacts, and develop better emergency response plans. This helps improve the accuracy of decision-making and the efficiency of response.

[0170] Resource allocation and engineering planning: Through virtual environment simulation, resource allocation and engineering planning can be carried out to determine the best disposal engineering measures and resource allocation, thereby better responding to sudden environmental events.

[0171] In summary, the goal of this technical solution is to transform real-world data into a visualized virtual environment to support needs in emergency management, decision-making, and training. This is highly helpful in improving the efficiency and accuracy of emergency response.

[0172] In one embodiment of the present invention, the simulation optimization determination module includes:

[0173] The emergency event setting module is used to set up emergency environmental events;

[0174] The monitoring module is used to simulate different sudden environmental events on the electronic sand table virtual environment model using the sudden environmental events, and to obtain the response time and handling effect of each sudden environmental emergency response plan corresponding to the sudden environmental events.

[0175] The comparison module is used to compare the response time and engineering simulation effect of different emergency response plans for sudden environments, or to compare them with preset response time and effect thresholds.

[0176] The first optimization judgment module is used to determine that the emergency response simulation operation plan in the electronic sand table needs to be optimized when the response time of the best emergency environmental event handling plan exceeds the preset response time threshold or the handling effect is less than the preset handling effect.

[0177] The second optimization judgment module is used to determine that if the response time of the optimal emergency environmental event handling plan is less than a preset response time threshold and the handling effect exceeds a preset handling effect, then it is determined that no optimization of the emergency response simulation operation plan in the electronic sand table virtual environment model is needed. This plan is the optimal and compliant emergency environmental event handling plan.

[0178] The working principle of the above technical solution is as follows: Setting up a sudden environmental event: First, set up the sudden environmental event to be simulated, which can include natural disasters, fires, traffic accidents, etc. This environmental event will be used for subsequent simulation operations.

[0179] Simulation Operation: The electronic sand table virtual environment model is simulated using pre-defined emergency environmental events. The simulation considers various factors, such as geographical information, population distribution, and resource location, to simulate the occurrence of emergencies and emergency response scenarios.

[0180] Obtaining Response Time and Outcomes: The simulation will generate the optimal emergency response plan and its corresponding response time and outcome. Response time represents the time from the occurrence of the event to the arrival of the engineering work. Outcomes represent the overall effectiveness of each emergency response project undertaken by the pollutant along its diffusion path.

[0181] Comparison with preset thresholds: The technical solution compares the obtained response time and engineering simulation treatment effect with the preset response time and treatment effect thresholds.

[0182] Determining if optimization is needed: If the response time of the optimal emergency response plan exceeds a preset response time threshold, or the response effect is less than a preset response effect, then the electronic sandbox virtual environment model is determined to need optimization. This may include adjusting resource allocation, engineering planning, or other factors to improve response time or response effect.

[0183] No optimization required: If the response time of the best emergency response plan is less than the preset response time threshold and the response effect exceeds the preset response effect, it is determined that no optimization of the virtual environment model is required, indicating that the simulated response is timely and effective.

[0184] The effects of the above technical solution are as follows: Simulation evaluation: This technical solution allows for simulation evaluation through virtual environment models to assess the efficiency and accuracy of emergency response. This helps to identify potential areas for improvement.

[0185] Optimized decision-making: Based on simulated response times and handling effects, decision-makers can better understand when and what actions are needed to optimize emergency response plans, ensuring a more timely and effective response when sudden environmental events occur.

[0186] Resource allocation improvement: If the response time exceeds the threshold, or the handling effect fails to meet the threshold, the system can suggest how to optimize resource allocation and engineering measures to respond to sudden environmental events more promptly and effectively.

[0187] In summary, this technical solution helps to improve emergency response plans for sudden environmental events through virtual simulation, so as to better protect the ecological environment and people's lives and property.

[0188] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A sudden environmental event electronic sand table control method based on multi-source data fusion, characterized in that, Specifically, the steps include the following: Step 1: Collect data information corresponding to sudden environmental events, and preprocess the data information to obtain preprocessed data information; Step 2: Use the electronic sand table creation tool to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event; Step 3: Simulate a sudden environmental event on the electronic sand table virtual environment model to obtain the response time and engineering simulation effect of the sudden environmental event simulation operation. Based on the response time and engineering simulation effect of the sudden environmental event, determine whether to optimize the emergency response simulation operation plan in the electronic sand table virtual environment model; evaluate and determine the best sudden environmental event response plan through multi-scheme simulation comparison; the response time is the time from the occurrence of the event to the decision-making and implementation, and the engineering simulation effect is obtained by calculating the pollutant's (final concentration - initial concentration) / initial concentration; Step one includes: Collect first data information of the target area, wherein the first data information includes the topographic and geomorphological geographic information of the target area, the hydrology and water quality of the river system, water sources, distribution of sensitive populations, environmental emergency space and facilities, and the spatial location of emergency material warehouses and emergency teams; Collect second data information corresponding to sudden environmental incidents, wherein the second data information includes the type of accident, characteristic pollutants, and optional emergency response plans in the case of the sudden incident; The data information of various types in the first data information and the second data information is converted into data information with a unified format. Data cleaning is performed on data information with a uniform format to obtain cleaned data information. The cleaned data is deduplicated to obtain the deduplicated data. The data information after deduplication is geocoded to obtain preprocessed data information with geocoding. Step three includes: Set up emergency environmental events; The sudden environmental event is used to simulate the sudden environmental event on the electronic sand table virtual environment model to obtain the response time required for the emergency response plan corresponding to the sudden environmental event and to achieve the engineering simulation response effect. Compare the response time and engineering simulation effects of different emergency response plans for sudden environments, or compare them with preset response time and treatment effect thresholds; By comparing multiple simulation scenarios, the best emergency environmental incident response plan with the shortest response time, the best handling effect, and the best expected goals was evaluated and determined. When the response time of the optimal emergency response plan exceeds the preset response time threshold or the response effect is less than the preset response effect, it is determined that the virtual environment model of the emergency response simulation operation plan in the electronic sand table needs to be optimized. When the response time of the optimal emergency response plan is less than the preset response time threshold and the response effect exceeds the preset response effect, it is determined that there is no need to optimize the emergency response simulation operation plan in the electronic sand table virtual environment model.

2. The method according to claim 1, wherein, The following algorithm is used for data deduplication: Step one: set the data to be compared as A, in order to improve the processing speed, the data A is processed by Hash, MD5 algorithm is adopted, and the data obtained after processing is as follows: as follows: ， Step two: let i be the non-repeated data number which has been processed, MD5 value corresponding to the i th data, then the similarity between data A and the non-repeated i th data which has been processed is : ， wherein, represents the intersection of two data, represents the union of two data; Step 3: Let the total number of processed unique data be n. Calculate the similarity between data A and all processed unique data. If the similarity with any data is 1, it means that data A is a duplicate, so stop calculating the similarity and delete data A. If the calculated similarity is not 1, continue to calculate with other data until a similarity of 1 is found or all n data have been calculated, then stop the data comparison. If the similarity between data A and all n data is not 1, it means that A is a unique data and is retained. 3.The method of claim 1, wherein, Using an electronic sand table creation tool, an electronic sand table virtual environment model corresponding to the data information of the aforementioned sudden environmental event is created, including: Access the electronic sand table creation tool, which includes a geographic map, building element models, road element models, water element models, emergency material element models, and disposal engineering element models; Use the aforementioned electronic sand table creation tool to create an initial electronic sand table virtual environment model; The first and second data information are integrated into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

4. An electronic sand table control system for sudden environmental events based on multi-source data fusion, characterized in that, The electronic sand table control system for sudden environmental events based on multi-source data fusion includes: The data information collection module is used to collect data information corresponding to sudden environmental events and to preprocess the data information to obtain preprocessed data information. The sand table model creation module is used to create an electronic sand table virtual environment model corresponding to the data information of the sudden environmental event using an electronic sand table creation tool. The simulation optimization judgment module is used to simulate sudden environmental events in the electronic sand table virtual environment model, obtain the response time of the sudden environmental event simulation operation and the engineering simulation handling effect, and determine whether to optimize the event emergency handling simulation operation plan in the electronic sand table virtual environment model based on the response time of the sudden environmental event and the engineering simulation handling effect. The simulation optimization determination module includes: The emergency event setting module is used to set up emergency environmental events; The monitoring module is used to simulate different sudden environmental events on the electronic sand table virtual environment model using the sudden environmental events, and to obtain the response time and handling effect of each sudden environmental emergency response plan corresponding to the sudden environmental events. The comparison module is used to compare the response time and engineering simulation effects of different emergency response plans for sudden environmental events, or to compare them with preset response time and treatment effect thresholds. Through multi-plan simulation comparison, the optimal emergency environmental event response plan with the shortest response time, the best treatment effect, and the best performance in meeting the expected goals is evaluated and determined. The first optimization judgment module is used to determine that the emergency response simulation operation plan in the electronic sand table needs to be optimized when the response time of the best emergency environmental event handling plan exceeds the preset response time threshold or the handling effect is less than the preset handling effect. The second optimization judgment module is used to determine that it is not necessary to optimize the emergency response simulation operation plan in the electronic sand table virtual environment model when the response time of the best emergency environmental event handling plan is less than a preset response time threshold and the handling effect exceeds the preset handling effect.

5. The electronic sand table control system for sudden environmental events based on multi-source data fusion according to claim 4, characterized in that, The data collection module includes: The first data information collection module collects the first data information of the target area, which includes the topographic and geomorphological information of the target area, the hydrology and water quality of the river system, water sources, distribution of sensitive populations, environmental emergency space and facilities, and the spatial location of emergency material warehouses and emergency teams. The second data information collection module is used to collect second data information corresponding to sudden environmental events. The second data information includes the accident type, characteristic pollutants, and optional emergency response plans in the event of the sudden event. The format conversion module is used to convert the various types of data information in the first data information and the second data information into data information with a unified format. The data cleaning module is used to clean data information with uniform format to obtain cleaned data information; The data deduplication module is used to deduplicatize the cleaned data to obtain the deduplicated data. The geocoding module is used to geocode the deduplicated data to obtain preprocessed data with geocoding.

6. The electronic sand table control system for sudden environmental events based on multi-source data fusion according to claim 5, characterized in that, The following algorithm is used for data deduplication: Step 1: Let the data to be compared be A. To improve processing speed, data A is hashed using the MD5 algorithm. The resulting data is... as follows: ， Step 2: Let i be the number of the unique data that has been processed. Let be the MD5 value corresponding to the i-th data point, then the similarity between data A and the processed, non-repeating i-th data point. for: ， in, This indicates finding the intersection of two sets of data. This indicates finding the union of two sets of data. Step 3: Let the total number of processed unique data be n. Calculate the similarity between data A and all processed unique data. If the similarity with any data is 1, it means that data A is a duplicate, so stop calculating the similarity and delete data A. If the calculated similarity is not 1, continue to calculate with other data until a similarity of 1 is found or all n data have been calculated, then stop the data comparison. If the similarity between data A and all n data is not 1, it means that A is a unique data and is retained.

7. The electronic sand table control system for sudden environmental events based on multi-source data fusion according to claim 6, characterized in that, The sand table model creation module includes: The tool retrieval module is used to retrieve the electronic sand table creation tool, which includes a geographic map, building element models, road element models, water element models, emergency material element models, and disposal engineering element models. The initial virtual model creation module is used to create an initial electronic sand table virtual environment model using the electronic sand table creation tool. The electronic sand table virtual environment model acquisition module is used to integrate the first data information and the second data information into the initial electronic sand table virtual environment model to form the electronic sand table virtual environment model corresponding to the data information of the sudden environmental event.

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